Tech Stack

Description

You will drive ML projects end-to-end to enhance player experiences across Scopely's live game portfolio, working with a team to build ML-powered tools that optimize game operations and player engagement.

Requirements

• Proactive, creative problem-solver with practical solutions
• Strong numerical background in engineering, computer science, ML, mathematics, or statistics
• Hands-on experience with algorithms, heuristics, machine learning, and analytical approaches
• Experience delivering production-quality ML products with batch and real-time serving
• Strong coding skills in Python, Java, or C++ and experience with AWS, Azure, or GCP

Responsibilities

• Drive ML projects end-to-end from business requirements to deployment
• Transform and analyze player data to validate assumptions and develop ML solutions
• Partner with Senior MLEs, Engineering Managers and Product teams to identify improvements
• Contribute to the roadmap and vision for ML-driven automation across live games
• Build and maintain cloud-native infrastructure for large-scale model training and serving